Solutions Architect - Global Telecommunications

Databricks

Town of Texas (WI)

On-site

USD 219,000 - 301,000

Full time

14 days+
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Benefits offered by this job

Databricks certifications

Job summary

Databricks is seeking a Sr. Solutions Architect to lead the organization's most complex engagements and drive adoption of the Data Intelligence Platform.

You will own executive relationships, orchestrate cross-functional teams, and mentor a team of SAs while shaping data and AI strategy for large accounts, traveling up to 30% as needed. This role requires deep expertise in distributed systems, real-time architectures, and cloud platforms, with a track record of revenue impact.

Qualifications

  • 8+ years in solutions architecture or senior technical pre-sales.
  • Expert-level coding in Python and SQL; Spark/PySpark knowledge.
  • Deep enterprise data architecture experience.
  • Proven track record of driving consumption growth and platform adoption.
  • Executive presence to influence Directors, VPs and C-level stakeholders.

Responsibilities

  • Drive technical strategy and platform adoption for top accounts.
  • Own senior-level technical relationships and advise on data/AI strategy.
  • Lead complex architecture engagements across multi-workload platforms.
  • Mentor junior SAs and coordinate cross-functional teams.
  • Contribute to field engineering content and thought leadership.

Skills

Python
SQL
Spark/PySpark
Data architecture
Executive presence
Platform adoption

Education

Bachelor's or Master's in CS/Engineering or related quantitative field

Tools

Databricks Platform
Cloud platforms (AWS/Azure/GCP)

Job description

FEQ227R233 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype- a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.

Impact You Will Have
  • Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.
  • Own senior-level technical relationships- serving as a trusted advisor on enterprise data and AI strategy.
  • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.
  • Operate as an Expert on the Databricks Platform with a declared archetype- actively mentoring others and driving horizontal impact across your team.
  • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms.
  • Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions.
  • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization.
  • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.
What We Look For
  • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
  • Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview.
  • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
  • Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability).
  • Declared technical specialization with recognized depth- e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
  • Proven track record of driving consumption growth and platform adoption in large accounts.
  • Executive presence- ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
  • Experience leading competitive displacements and complex enterprise evaluations.
  • Ability to travel to customers 30% of the time.
  • Strong strategic thinking- connecting technical architecture decisions to business outcomes and revenue impact.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued.
Nice to Have
  • Databricks certifications.
  • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company.
  • Published thought leadership (blogs, conference talks, open source contributions).
  • Industry vertical expertise (telco) with executive-level domain credibility.
Interview Process

Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check #CMEG

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Zone 1 Pay Range $219,100 - $301,300 USD

Zone 2 Pay Range $219,100 - $301,300 USD

Zone 3 Pay Range $219,100 - $301,300 USD

Zone 4 Pay Range $219,100 - $301,300 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Databricks certifications
Equity and bonus eligibility